Rolland Mc Dolland

Rolland Mc Dolland — CS2 Stats

GR76561198053815682[U:1:93549954]Steam profile ↗✓ No bans

1,140Tracked matches38%Win rate2021Tracked since
1,864Hours in CS37Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating21,843Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#8833 of 29138 tracked
FaceitLevel 8 · 1,196 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate43.0%47.2%49.0%6.0% short
Shot accuracy4.8%12.3%13.1%8.3% short
Kill/death ratio1.021.071.080.07 short
Match win rate43.2%46.3%46.9%3.7% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRolland Mc DollandFACEITLevel 8 · 1,196 ELOSTANDINGTop 31.2% of rankedPREMIER21,843 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning57
Utility55

0–100 skill scores via Leetify.

Recent form

COLD49447Last 10049%Win rateTWTTTLWLLL

Last 10 vs previous 10: -20pp win rate · +0.05 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression7.4
Utility5.5
Positioning5.7
Opening Duels2.6
Clutch3.4

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.9
Positioning5.7
Utility5.5
Mechanics7.5
Opening Duels2.6
Win Impact1.2

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time638ms−22ms
first ⅓ avg 660ms → last ⅓ avg 638ms
Headshot accuracy18.5%−1.8%
first ⅓ avg 20.4% → last ⅓ avg 18.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.15Best rating — ancient 13–6
131Biggest win — cache
5Longest win streak
103In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 64% over 11nukeWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B23111248%0.01
nukeD1441029%-0.01
ancientB137654%0.01
mirageA138562%0.01
infernoA127558%0.00
cacheA117464%0.05
train42250%-0.03
anubis32167%-0.01
vertigo3030%-0.03
office21150%0.00
overpass1010%-0.01
boulder1010%0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,676Lifetime kills
1.02K/D
2,932Matches
43.2%Match win rate
43.0%Headshot %
4.8%Shot accuracy
6,607MVPs
1,246Hours (in match)
1,348Bombs planted
574Bombs defused

Most-used weapons

AK-4715,517
AWP3,602
MP91,911
XM10141,608
MAC-101,183

Lifetime map wins

6,359dust2
3,127inferno
3,012nuke
934train
921office
396vertigo
51italy
43lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

190Matches
54%Win rate
1.17Avg K/D
84.9ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust24751%1.1916.6
Mirage4163%1.1915.3
Ancient2365%1.0315.4
Anubis2245%1.2416.4
Inferno2264%1.2715.7
Nuke1233%1.1917.8
Cache617%0.8615.0
Overpass2100%2.4120.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.1%Headshot accuracy
35.1%Accuracy (enemy spotted)
40.4%Spray accuracy
83.7%Counter-strafing
10.4°Preaim
645msReaction time
42.7%T opening success
38.0%CT opening success
0.67Enemies flashed / flash
17.5%Flash assists
8.22HE damage / grenade
3.73Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7292 — below the 4 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.0226% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.037%28 Aug
dust213–40.1015%28 Aug
dust212–120.0916%27 Aug
cache12–12-0.0018%27 Aug
cache12–12-0.0111%26 Aug
office0–13-0.0516%24 Aug
inferno13–110.0620%24 Aug
inferno8–13-0.0324%23 Aug
nuke4–60.0931%23 Aug
ancient6–130.0216%23 Aug
ancient10–130.0115%23 Aug
dust213–30.0232%23 Aug
inferno8–13-0.100%22 Aug
nuke4–13-0.0733%22 Aug
ancient16–14-0.0710%22 Aug
inferno10–13-0.0014%21 Aug
anubis13–80.0011%21 Aug
mirage0–11-0.0023%20 Aug
dust21–13-0.0911%19 Aug
dust210–20.0221%19 Aug
mirage0–4-0.090%19 Aug
nuke9–13-0.0321%19 Aug
dust27–13-0.0017%19 Aug
inferno4–13-0.0656%18 Aug
dust213–60.1028%18 Aug
cache13–50.0923%18 Aug
ancient7–13-0.038%18 Aug
dust26–130.0723%17 Aug
mirage13–60.0219%17 Aug
ancient13–60.0216%17 Aug
train13–50.0521%16 Aug
vertigo2–13-0.0715%16 Aug
ancient13–100.0421%15 Aug
ancient8–13-0.0021%15 Aug
ancient13–60.1520%15 Aug
mirage13–9-0.0621%15 Aug
nuke13–100.0323%14 Aug
nuke13–100.0214%14 Aug
inferno13–20.0318%14 Aug
train4–12-0.048%14 Aug
mirage13–90.0520%9 Aug
nuke13–50.0615%9 Aug
cache6–130.0610%2 Aug
mirage6–13-0.0416%2 Aug
vertigo12–120.0214%2 Aug
cache13–100.0422%31 Jul
dust213–11-0.0610%31 Jul
nuke16–14-0.008%30 Jul
inferno13–11-0.019%30 Jul
dust216–12-0.0216%30 Jul
vertigo9–13-0.0314%29 Jul
nuke5–130.0016%28 Jul
dust22–13-0.0419%28 Jul
ancient13–50.0217%28 Jul
dust24–13-0.0220%26 Jul
inferno11–13-0.0210%26 Jul
dust213–90.0124%26 Jul
inferno13–110.028%25 Jul
mirage9–130.0220%25 Jul
dust213–100.0821%25 Jul
train3–13-0.1010%24 Jul
nuke6–130.0016%24 Jul
dust213–110.0312%24 Jul
office13–110.0521%23 Jul
cache13–90.1018%23 Jul
anubis8–13-0.029%23 Jul
mirage8–13-0.006%23 Jul
anubis13–6-0.0116%22 Jul
dust212–120.0519%22 Jul
nuke11–13-0.079%22 Jul
nuke2–13-0.0726%21 Jul
overpass6–13-0.0118%21 Jul
train13–8-0.0324%21 Jul
ancient13–90.0718%21 Jul
cache5–130.0219%21 Jul
mirage13–80.0822%21 Jul
cache13–50.1319%20 Jul
mirage13–80.0417%20 Jul
ancient13–11-0.0523%20 Jul
dust22–13-0.0745%20 Jul
dust26–13-0.0241%20 Jul
dust213–9-0.0010%19 Jul
cache13–10.0119%19 Jul
mirage13–9-0.0418%19 Jul
ancient12–12-0.0119%19 Jul
dust26–13-0.0219%19 Jul
cache13–40.0420%19 Jul
dust27–130.0429%19 Jul
nuke2–13-0.0119%19 Jul
inferno13–70.0426%19 Jul
inferno13–60.0417%18 Jul
mirage13–10-0.0219%18 Jul
boulder1–80.1029%18 Jul
nuke6–13-0.0235%18 Jul
ancient6–13-0.0419%18 Jul
mirage13–90.1321%18 Jul
dust26–13-0.0111%18 Jul
cache13–40.0710%18 Jul
dust213–7-0.028%18 Jul
inferno13–110.0410%18 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →